Computational Fluid Dynamics (CFD) (MSK600)
The course introduces Computational Fluid Dynamics (CFD), a tool for solving complex fluid dynamics problems using numerical techniques.
Course description for study year 2024-2025. Please note that changes may occur.
Course code
MSK600
Version
1
Credits (ECTS)
5
Semester tution start
Spring
Number of semesters
1
Exam semester
Spring
Language of instruction
English
Content
Computational fluid dynamics (CFD) lets us solve the governing equations for fluid dynamics for complex engineering problems. CFD is today used in a wide range of industries, some examples are:
- air resistance for airplanes and cars
- wind and wave loads on buildings and marine structures
- heat- and mass transfer in chemical processing plants
- consequence modelling of fires and explosions in the oil- and gas industry
In this course you will get an introduction to computational fluid dynamics. The first part of the course deals with fundamental theory and numerical methods. The second part of the course introduces use of the practical CFD software OpenFOAM. The course ends with a group project where you select a problem of your own choice to simulate in OpenFOAM.
Learning outcome
Knowledge
The students shall
- know the governing equations for fluid dynamics, and how these can be described as a general transport equation
- know the properties of the finite volume method for discretizing transport equations
- know the fundamental discretization schemes for each term of the transport equation
- know the most common methods for treating the coupled flow problem
- know the most common models for turbulent flow
- be able to discuss advantages and disadvantages of different choices of solution methods and models
Skills
The students shall be able to
- perform the discretization of all the terms in the transport equation with the finite volume method
- implement numerical methods to solve transport equations in the Python programming language
- perform simulations in the CFD software OpenFOAM; create simulation mesh, select initial- and boundary conditions, discretization schemes and solution methods and visualize the results
- compare simulations against analytical and experimental results
General qualifications
The students shall be able to
- simplify practical problems to make them amenable for analysis with appropriate scientific methods
- visualize and present data from simulations in a scientific manner
- interpret results from simulations and evaluate accuracy and uncertainty
- collaborate in groups to carry out a project work
Required prerequisite knowledge
Recommended prerequisites
Exam
Written exam and report
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Assignment | 1/2 | 2 Months | Letter grades | All |
| Written exam | 1/2 | 3 Hours | Letter grades | None permitted |
The written exam is performed digitally. The report is conducted in groups. No re-sit opportunities are offered for the report. Students who do not pass the report can retake it the next time the course is held.
Course teacher(s)
Course coordinator:
Knut Erik Teigen GiljarhusHead of Department:
Mona Wetrhus MindeMethod of work
Overlapping courses
| Course | Reduction (SP) |
|---|---|
| Heat transfer and CFD (MOM430_1) | 5 |
| Computational Fluid Dynamics (CFD) (MSK610_1) | 5 |